327 Pharmaceutical Research jobs in Singapore

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The successful candidate will work with Dr. LIU Shi on the design of GPCR-targeting peptidic ligands and related functional evaluation.

The main responsibilities of the position include:
1. To synthesize small-molecule building blocks for SPPS
2. To synthesize GPCR-targeting peptidic ligands
3. Functional evaluation of designed peptides in cell assays

• Qualifications / Discipline: PhD degree in organic chemistry or medicinal chemistry
• Skills: Organic synthesis and medicinal chemistry
• Experience: Experienced in synthetic organic chemistry and drug design

We are seeking a highly motivated and experienced Research Scientist to join our team in the Laboratory of Molecular Neurodegeneration.

• The successful candidate will be responsible for conducting research experiments using routine cell biology, biochemistry, and molecular biology techniques.
• Developing and maintaining in vitro and in vivo models for studying adult-onset neurodegenerative diseases.
• Analyzing data using genomic quantitative analysis, molecular, and cellular studies.
• Collaborating with other researchers to understand disease pathogenic mechanisms and develop anti-aging potential.

Requirements:

• Bachelor's degree in science or related field.
• Highly motivated and passionate about research.
• Experience in routine laboratory techniques.
• Expertise in one of the following areas preferred: mouse or stem cell models, electrophysiology, glial biology, RNA biology, bioinformatics, live imaging microscopy, or optogenetics.

Benefits:

• Competitive salary.
• Medical benefits.
• Performance bonus available upon annual performance review.

How to Apply:

Please submit your application including a cover letter, curriculum vitae, and three references to the NUS job portal.

Job Summary

We are seeking a highly skilled Research Associate to join our team. The successful candidate will work on data-driven research in the field of machine learning and applied data science under a project on "Regularization and Stabilization of Port-Hamiltonian Descriptor Systems".

Main Responsibilities

• Design, develop, and evaluate machine learning models
• Collect, clean, and manage datasets from various sources
• Conduct literature reviews and benchmarking experiments
• Implement data pipelines and model evaluation frameworks
• Prepare research reports, documentation, and presentation materials
• Collaborate with other researchers and support academic publications

Qualifications and Skills

• Master's degree or above in Data Science, Statistics, Mathematics, or a related discipline
• Strong academic background in machine learning, algorithm design, or quantitative analysis
• Proficient in Python and familiar with data science libraries such as NumPy, Pandas, scikit-learn, and visualization tools (e.g., matplotlib, seaborn)
• Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow)
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques
• Ability to manage and analyze large datasets (structured and unstructured)
• Good communication skills, attention to detail, and ability to work both independently and collaboratively

Preferred Qualifications

• Prior exposure to academic research, internships, or industry projects involving data analysis or machine learning
• Experience with natural language processing, computer vision, time-series analysis, or multimodal data integration is an advantage
• Experience preparing reports, presentations, or contributing to academic work during research projects is also advantageous

What We Offer

This is an excellent opportunity for a motivated and talented individual to contribute to cutting-edge research and gain valuable experience in machine learning and data science.

Key Performance Indicators

• Successful implementation of machine learning models
• Effective management and analysis of large datasets
• Collaboration with other researchers to achieve project goals

How to Apply

If you are a highly motivated and organized individual with a passion for machine learning and data science, please submit your application.

• Project management and execution with target deliverables and schedule.
• Fabrication of silicon photonics integrated circuits based on silicon photonics platform.
• Independently carry out opto-electronic characterization to verify device / circuit design and performance.
• Design / optimize photonic integrated circuit for various applications.
• Test result documentation and performance analysis.
• Performs other duties as assigned. Duties will vary according to the project progress and/or the specific goals of the company
• Collaborate with project team members to ensure device meets specification and verify device's performance

• Ph.D in Integrated photonics or Electrical / Electronics
• Hands-on experience in silicon photonics, especially for photonic circuit design
• Hands-on experience in photonic simulation using software such as Lumerical / Rsoft, Electrical simulation using software such as Ansys / Synopsys / Silvaco and Layout drawing
• Preferred experience in high-speed devices (MOD / PD) design / characterization
• Experience in fabrication of silicon photonics is a bonus point
• Strong self-motivation and interest on silicon photonics
• Strong oral and written communication skills and demonstrated ability to work in a team-oriented environment
• Problem analysis and problem solving skill

• Provide scientific leadership and direction for a multidisciplinary research team focused on biomass valorization and continuous-flow process development.
• Act as the scientific and operational anchor between MPI (Germany) and NTU (Singapore), facilitating effective cross-national coordination.
• Lead the design, commissioning, and operation of the Automated Flow Chemistry Laboratory, including layout design, staffing, and procurement.
• Drive the development and optimization of closed-loop, automated flow chemistry systems for biomass valorization, integrating data-driven design and in-line analytics.
• Ensure effective project management, team coordination, and progress reporting, while maintaining high standards of safety and scientific rigor.
• Mentor and guide a team of 5-6 researchers, including Research Fellows and Assistants.
• Oversee project progress, ensure milestone achievements, and contribute to the drafting of research proposals and industrial engagement activities.
• Disseminate results through high-impact journals, patents, and global conferences.
• Represent MPI in administrative, academic, and strategic discussions, including engagement with CREATE leadership and NRF stakeholders.

• Doctoral degree in Chemical Science, Chemical Engineering, Chemistry, or a related field.
• Strong expertise in flow chemistry, automation, Chemputer-based platforms, and closed-loop experimentation.
• Experience in digitalization of chemical synthesis, lab automation, and pilot-scale system development.Strong research portfolio with high-impact publications
• Demonstrated leadership in interdisciplinary or international research projects.
• Experience in managing lab-scale to pilot-scale chemical processes, including automation, scale-up, and data-driven optimization.
• Prior involvement in programme proposal writing, lab layout design, and research coordination is a strong plus.
• Excellent organizational, communication, and interpersonal skills with the ability to lead diverse teams and manage cross-institutional collaborations.

The role of the chemist assistant involves conducting various laboratory tests using advanced instruments such as UV-VIS, IC-POES, FIA, GC-MS etc.

The goal is to deliver prompt testing results to customers.

• Perform chemical analyses using sophisticated equipment
• Carry out sample examination and deliver results in a timely manner
• Maintain laboratory equipment in a clean and functional state
• Conduct calibration and prepare reagents when necessary
• Prepare annual assessments and collaborate with external audit teams
• Ensure a well-organized and safe laboratory environment
• Assume new responsibilities as needed, such as training interns during their internship in the lab